Featured Publications | Spatial Simulation research group
Neuwirth, C., 2017. System dynamics simulations for data-intensive applications. Environ. Model. Softw. 96, 140–145.
Wallentin, G. (2017). Spatial Simulation: a spatial perspective on Individual-based Ecology – a review. Ecological Modelling 350, 30–41.
Wallentin, G., Neuwirth, C. (2017). Dynamic hybrid modelling: Switching between AB and SD designs of a predator-prey model. Ecological Modelling 345, 165–175.
Oloo, F., Wallentin, G. (2017). An Adaptive Agent-Based Model of Homing Pigeons: A Genetic Algorithm Approach. ISPRS International Journal of Geo-Information 6(1), 27.
Mohr, S., Knolle, F., Wallentin, G. (2017). Agent-based model for the monitoring of visitor streams. A study using the example of the Harz National Park, Germany [poster]. GI_Forum conference, 5.-7. July, Salzburg, Austria.
Wallentin, G., Oloo, F. (2016). A Model-sensor Framework to Predict Homing Pigeon Flights in Real Time. GI_FORUM – Journal for Geographic Information Science 2016(1), 41-52.
Wallentin, G., Loidl, M. (2016). Bicycle-Bicycle Accidents Emerge from Encounters: An Agent-Based Approach. Safety 2(2), 14.
Loidl, M., Wallentin, G., Cyganski, R., Graser, A., Scholz, J., Haslauer, E. (2016). GIS and Transport Modeling—Strengthening the Spatial Perspective. ISPRS International Journal of Geo-Information 5(6), 84.
Wallentin, G., Loidl, M. (2015). Agent-based bicycle traffic model for Salzburg City. GI_Forum ‒ Journal for Geographic Information Science 2015(1), 558-566.
Wallentin, G., & Car, A. (2012). A framework for uncertainty assessment in simulation models. International Journal of Geographical Information Science, 27(2), 408-422.
Wallentin, G., Tappeiner, U., Strobl, J., & Tasser, E. (2008). Alpine tree line dynamics: an individual based model. Ecological Modelling, 218(3-4), 235-246.
Agent Based Models | Spatial Simulation research group
Agent-based model for the monitoring of visitor streams. Stefan Mohr, 2018, Master Thesis. GAMA RC2.
This ABM has the aim to create an agent based model (ABM) for simulating touring companies and hikers in the area of the “Nationalpark Harz” (NLP Harz) in Germany. Based on the NLP Harz maintained hiking path network, the model should also contain parking areas, bus-stops and the regular targets (POIs) inside the NLP Harz area. Several influences (e.g. weather, holidays, seasonal effects) should be integrated in the model, too. Besides this the narrow-gauge railway from Wernigerode to the summit of the Brocken makes the model more complex and has to be integrated, because a large number of visitors are travelling by train to the Brocken. The model will be build with the NetLOGO or GAMA modelling language. First of all, the thesis should answer the questions, if an ABM can be build to reflect the real situation inside the NLP Harz area and find and discuss the necessary attributes for the model by making some sensitivity analyses. After having a basic model, there will be some additional research done to clarify, how possible changes in the path network (e.g. closing some ways) or changing capacities of the parking areas will influence the usage of the ways, parking-areas, bus-stops and the stream of visitor towards the POIs.